Who cites Francesco Ronzano
- TweetEval: Unified Benchmark and Comparative Evaluation for Tweet ClassificationarXiv:2010.12421Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.2020 · 952 citations
- Harnessing Context Incongruity for Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya2015 · 417 citations
- A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural NetworksInternational Conference on Computational Linguistics (COLING)Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.2016 · 335 citations
- TimeLMs: Diachronic Language Models from TwitterAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.2022 · 331 citations
- Detecting Sarcasm in Multimodal Social PlatformsACM International Conference on Multimedia (ACM MM)Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 290 citations
- XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and BeyondLanguage Resources and Evaluation Conference (LREC)Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados2022 · 271 citations
- Reasoning with Sarcasm by Reading In-BetweenAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.2018 · 248 citations
- Automatic Sarcasm Detection: A SurveyarXiv:1602.03426Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 216 citations
- Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya2017 · 141 citations
- Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasmWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAnupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.2015 · 114 citations
- Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy2021 · 112 citations
- Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lotem Peled, Roi Reichart2017 · 95 citations
- Harnessing Cognitive Features for Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.2016 · 85 citations
- Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataProceedings of the First International Workshop on Natural Language Processing Beyond TextXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations
- iSarcasm: A Dataset of Intended SarcasmSilviu Oprea, Walid Magdy2020 · 58 citations
- A Modular Architecture for Unsupervised Sarcasm GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan2019 · 52 citations
- ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and SarcasmInternational Workshop on Semantic Evaluation (SemEval)Delia Irazú Hernández Farías, Emilio Sulis, Viviana Patti, et al.2015 · 28 citations
- Generalizable Sarcasm Detection is Just Around the Corner, of Course!Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hyewon Jang, Diego Frassinelli2024 · 22 citations
- #NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Endang Wahyu Pamungkas, Viviana Patti2018 · 14 citations
- ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso2018 · 13 citations
- Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detectionInternational Workshop on Semantic Evaluation (SemEval)Nishant Nikhil, Muktabh Mayank Srivastava2018 · 7 citations
- NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep LearningInternational Workshop on Semantic Evaluation (SemEval)Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.2022 · 6 citations
- Computational Sarcasm Analysis on Social Media: A Systematic ReviewarXiv:2209.06170Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.2022 · 4 citations
- Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated DatasetWorkshop on Natural Language Processing and Computational Social Science (NLP+CSS)Jordan Painter, Helen Treharne, Diptesh Kanojia2022 · 4 citations
- Sarcasm Detection : Building a Contextual HierarchyInternational Conference on Computational Linguistics (COLING)Taradheesh Bali, Navjyoti Singh2016 · 4 citations
- INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in TwitterInternational Workshop on Semantic Evaluation (SemEval)Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.2018 · 3 citations
- Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Edward Dearden, Alistair Baron2018 · 1 citation
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